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» Gradient Convergence in Gradient methods with Errors
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ISNN
2007
Springer
14 years 1 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
ECML
2007
Springer
14 years 1 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
SIAMJO
2008
139views more  SIAMJO 2008»
13 years 7 months ago
An Augmented Primal-Dual Method for Linear Conic Programs
We propose a new iterative approach for solving linear programs over convex cones. Assuming that Slaters condition is satisfied, the conic problem is transformed to the minimizatio...
Florian Jarre, Franz Rendl
JSAC
2007
129views more  JSAC 2007»
13 years 7 months ago
Content-Aware Resource Allocation and Packet Scheduling for Video Transmission over Wireless Networks
— A cross-layer packet scheduling scheme that streams pre-encoded video over wireless downlink packet access networks to multiple users is presented. The scheme can be used with ...
Peshala V. Pahalawatta, Randall Berry, Thrasyvoulo...
ICIP
2006
IEEE
14 years 1 months ago
Fast Iterative Adaptive Reconstruction in Low-Dose CT Imaging
in Proc. IEEE Int’l Conf. on Image Processing (ICIP), pp 889-892, 2006 Traditional iterative tomographic reconstruction methods resort to gradient decent methods and require sig...
Lin Cheng, Yunqiang Chen, Tong Fang, Jason Tyan